Artificial Intelligence Conferences 2023 | Robotics Conference | AI conferences 2023 | Machine Learning Conferences | Artificial intelligence | Osaka

Conference Information

Welcome Message

Pulsus Conference warmly welcome you to the "7th International Conference on Robotics and Artificial Intelligence," which will be held in Madrid, Spain, on December 07-09, 2023.

This conference revolves around the theme: Innovations in Robotics and Artificial Intelligence for Better world," brings together computer engineers, researchers, and scientists from around the world to provide a forum for the sharing of concepts and ideas as well as the improvement of knowledge and skills.

It gives aspiring researchers the chance to investigate several areas of robotics and artificial intelligence. The leading producer of conferences, workshops, video presentations, and symposia in all of the key areas of science, engineering, and medicine is Pulsus Conference.

And for hosting of international conferences and events, Meetings Worldwide has been working with national and international institutes, universities, industries, and highly associated people.

Pulsus Conferences main goal is to encourage and provide a forum for dialogue between the academic and industrial communities regarding engineering and science research.

We look forward to your fervent participation in Robotics 2023

Regards,

Organizing Committee

Robotics 2023

About the conference

Warm greetings are extended to all speakers, delegates, students, and young professionals attending the 7th International Conference on Robotics and Artificial Intelligence in Madrid, Spain from December 07-09, 2023 on behalf of the organising committee for Robotics 2023.

The goal of Robotics 2023 is to address the problems associated with the conception, development, production, and delivery of commercial robotics and intelligent systems goods and services. It is a multidimensional educational forum and expo.

The keynote speakers and general sessions are intended to give experts the knowledge they need to effectively create the next wave of industrial robotic systems.

The purpose of Robotics 2023 is to advance robotics development and innovation by bringing together technical and business leaders from around the world in one location at one time.

Why to Attend?

The Greatest Minds-The world's top robotics minds will gather at Robotics 2023 to exchange knowledge and experiences in the field of commercial robotics development.

Engaging Keynotes-Robotics thought leaders from major businesses and organisations present keynotes at Robotics 2022 on topical, interesting, instructive, and inspirational themes.

Quantifiable Facts-The general sessions and panels at Robotics 2023 are especially made to provide technical professionals with the knowledge they need to successfully create the following generation of commercial robotics systems. In four tracks, speakers will offer their knowledge on a range of subjects: Tracks for design and development, manufacturing ability, production, and distribution, as well as technologies, tools, and platforms

Outstanding Companies-Attendees at Robotics 2023 get multiple chances to network with top businesses presenting the newest design and development approaches for creating robotics and Artificial intelligenence goods and services.

Who Will Attend?

Attendance is encouraged from technical and business experts from around the world charged with creating the following commercial-class robots and Artificial intelligenence goods and services, such as:

Software and Hardware Developers
robotics and intelligent solutions manufacturers
Researchers and Academics
Representatives of the media
Business and technology analysts
Investment experts

Advantages of Participating in our Congress

The Speaker and Abstract pages are created on Google on your profile under your name, giving you global visibility.
Meet and share ideas with hundreds of like-minded experts who are the best in the field of Robotics and AI.
With famous speakers and recognized keynote speakers, all participants in the congress would have a different incentive to attend.
Attend our Keynote presentations to hear what the world's professionals are learning from the world's most significant researchers in the field of Robotics and AI.
During the intensive Robotics and AI congress schedule, you will gain valuable experience and expertise in strategic gift preparation, forming an impressive variety of recognized professionals.
Nominations for the Best Poster Award
Outstanding Young Researcher Award
The Benefits of Group Registration

Benefits of Participation for Speaker

Researchers' profile is admired around the world.
Earn credits for professional development.
Learn about the most cutting-edge research.
The ability to promote one page in the distribution of abstract books and flyers, resulting in a million views and a significant boost to your research profile.
Learn a transition outside of your area of interest to learn more about new subjects and disciplines that aren't related to your main subject of Robotics and AI.
We have unique networking, learning, and pleasant integration all rolled into one. Benefits of Participation for Delegates
Professional Development—Improve knowledge and comprehension.
Delegates are supported, rejuvenated, and energized by attending the congress.
Your participation in our congress will contribute to the development of a new technique and ideology that can be applied to improve the outcomes of enterprises and industries.
Through the congress, Robotics and AI researchers and experts in the same field will be able to interact and discuss new ideas.

The benefit of Participation for the Sponsor

Exposure to the international environment would boost the likelihood of new businesses being formed.
Opportunity to show a wide range of foreign participants your company's latest technology, new goods, or service to your business.
Increase the number of leads generated by our congress participants.
Building a successful firm takes a lot of time, effort, and drive, so having a network of colleagues and associates to draw energy from individuals who share a common goal and ambition is always beneficial.
The Robotics and AI Congress allows you to devote more time and thought to your business, which could help you advance to the next level.
Developing and implementing primary organization plans.
Get input on your company's questions and challenges from trustworthy people at our congress.
Your company's advertising logo will appear on our congress banner, website, and other proceedings, branding, and marketing content.

The benefit of the Association for Collaborators

Nobody in the world has such a large number of visitors to Robotics and AI; this is the ideal venue for highlighting society.
Establishing long-term peer ties.
Branding and marketing materials, promotional content, and your organization logo will raise your number of subscribers/members by 40% on our Congress banner, website, and other proceedings.
Why our event's exposure to your company's placement in the Global Business Forum will have a significant impact on your organization.
Your representatives can network with key Congress delegates to update their knowledge and awareness of your organization and services.
Information will be integrated into Robotics advertising materials such as posters, brochures, pamphlets, and services that will be distributed to Universities, Societies, and Researchers.

Market Analysis

According to a recent exploration by Intellectual Market perceptivity Research, the global robotics Market was valued at USD28.28 billion in 2023 and is anticipated to reach USD78.28 billion by 2028, rising at a CAGR of17.28 from 2021 to 2028.

The Robotics 2023 Market exploration report examines both the current and unborn state of this assiduity perpendicular. While broadening the company's view, the exploration identifies important trends and possibilities, as well as obstacles, for multitudinous parts and sub-segments. The study report also contains substantial information grounded on literal and present patterns across different assiduity verticals to prop in the identification of possible expansion openings. Several estimates for request share, request size, and assiduity growth rate are offered throughout the cast period. The study offers information on competition analyses, consumption trends, and price strategies for the Robotics request.

The Asia- Pacific artificial robotics Market is anticipated to grow at a CAGR of10.87 between 2021 and 2028. For the once several times, governments in the area have been investing in artificial intelligence exploration and robotics with the thing of maximising profitable value. duty breaks, large investments, and governmental investments in artificial intelligence have accelerated the deployment of pay envelope- controlled robots. The electronics and electrical sectors are major motorists of request growth.

Thailand, South Korea, Indonesia, Australia & New Zealand, Japan, China, India, Taiwan, and the rest of Asia- Pacific are all examined in the Asia- Pacific artificial robotics market growth assessment. In 2020, China will see rapid-fire growth in robots. In China, the epidemic has had little effect on the artificial robots business. This is due to the fact that IT elephants have been involved in modernising and digitising product in order to overcome the epidemic handicap. In addition, the government intends to broaden the diapason of its artificial robots, from classic boxed robots to innovative cooperative bones that may be completely integrated into workstations. likewise, significant Chinese businesses with a strong transnational presence, similar as ABB, KUKA, and Yaskawa, have their headquarters in the country.

During the projected period, the Asia- Pacific Service Robots Market is estimated to grow at a CAGR of46.4.( 2020- 2025). The fast development of robotic systems by Chinese and Japanese enterprises is prognosticated to enhance demand and consumption for service robots in the area. Asian institutions and businesses are entering significant fiscal and nonsupervisory support from governments in order to incorporate these technologies into particular and professional uses.

The APAC Robotics Technology Market is estimated to generate $29.5 billion in sales by 2020, with a CAGR of 9.12% from 2015 to 2020. Robotics and AI 2023 technology combines electronics, artificial intelligence, computer science, mechatronics, biotechnology, and nanotechnology to build and develop robots. It is a technology that deals with the use of computer-controlled robots to perform manipulating activities. Robots are intelligent machines that use sensors, manipulators, control systems, power supplies, and software to execute tasks more efficiently.

Robotics and AI technology is becoming more popular in the Asia-Pacific area, because to rising need for process automation, increased efficiency and productivity, and reduced human mistakes. Robotics technology has been embraced by a variety of industries, including automotive, healthcare, military, and aerospace, for process automation and effective resource management. Because of the region's leading automobile sector and low-cost production units, industrial robots are widely deployed.

The Asia-Pacific Robotics and AI 2023 technology market has been divided into four sections: robot type, components, applications, and country. The market is divided into three categories: industrial robots, mobility robots, and service robots. The component section is separated into three categories: hardware, software, and services. Healthcare, military and security, automotive, aerospace, electronics, and others are the application segments (domestic, agriculture and education). Fanuc Corporation, ABB Group, Yamaha Corporation, Yaskawa Electric Corporation, Honda Motor Co. Ltd., Kawasaki Heavy Industries Ltd, and Seiko Epson Corporation are the primary suppliers highlighted in this research.

The region's elderly population is also driving demand for service robots in nations such as China and Japan. The increased use of robots in a variety of industries such as entertainment, education, and healthcare contributes to the market's growth. High initial investment and tight safety standards are two issues limiting industry expansion. Technological advancements such as swarm robotics, cloud robotics, and bio-mimetics will create several market development prospects.

During the forecast period, 2021-2026, the Japan industrial robotics market is estimated to grow at a CAGR of 9.92%. The robot industry is regarded as a vital component of the Japanese economy. Data processing, artificial intelligence, and sensors are examples of technical developments. Furthermore, the country's ageing population and shrinking workforce have resulted in socioeconomic structural shifts. As a result, there is a growing interest in the service robots industry.

Today, Japan is home to some of the world's largest industrial robot businesses, including Mitsubishi Electric, Fanuc, and Kawasaki Heavy Industries. Furthermore, Japanese firms have a substantial representation among the major robotics patent owners globally, with Toyota Motor leading the pack. Furthermore, Japan has the second-largest proportion of industrial robot unit shipments, after only China. While China's market growth is unrivalled, Japan remains one of the pioneers in developing and deploying cutting-edge robotic technology, with favourable outlooks for its domestic robotics market as well. The need for collaborative manufacturing robots, in particular, is expected to skyrocket over the next decade.

Prospects for the Robotics 2023:

The Japanese government has highlighted the future development and application of artificial intelligence (AI), robotics, the Internet of Things (IoT), and big data in its Scientific and Technology Basic Plans, which provide national policy guidelines for science and technology innovation. The goal of "Society 5.0" is to fully integrate technology solutions into the infrastructure of families, industries, and the general public. The New Energy and Industrial Technology Development Organization (NEDO), one of Japan's research and development organisations, is conducting research on logistics robotics challenges such as last-mile deliveries and drones. Domestic logistics and transfer robot market forecasts underline the segment's potential, with estimates for 2027 as high as 82.4 billion Japanese yen.

Market fragment by players

Intel Corporation
Nvidia Corporation
Google
IBM Corporation
Microsoft Corporation
General Vision
ABB
DAIHEN Corporation
Denso Corporation
Epson America Inc.
Fanuc Corporation
Kawasaki Heavy Industries Ltd.
Kobe Steel Ltd.
Kuka AG
Mitsubishi Electric Corporation
Yaskawa Electric Corporation.

Session&Tracks

Session 1: Introduction to Robotics

Robotics is a convergence of engineering and technology that covers mechanical engineering, electrical engineering, computer science, and other engineering fields. Robotics is one of the industry's newest rising sectors. Robots are being used in almost every industry to simplify circumstances. A robotic process necessitates the use of both software and physical components, including a power source, actuators, sensors, locomotive parts, storage devices, and control software. Robotics is currently widely employed in the military, security, construction, and medical, agricultural, home, and educational fields.

People's lives are made easier by robotics. There is a strong possibility that robots will be used in every household in the future. Both autonomous and manual robots are important in robotics.

Associated Journals: Advances in Robotics & Automation, Journal of Intelligent & Robotic Systems, Robotics Journals, Journal of Field Robotics, Advanced Robotics, Intelligent Service Robotics, Robotics and Autonomous Systems, Journal of Intelligent & Robotic Systems (JINT), International Journal of Social Robotics

Associated Societies: National Institute of Advanced Industrial Science and Technology, Robotic Industries Association, International Conference on Intelligent Robots and Systems, For Inspiration and Recognition of Science and Technology, Institute of Robotics and Intelligent Systems, Japan Robot Association, Livingston Robotics Club, Swedish Robotics Society, International Conference on Robotics and Automation, Robotics Society of Japan (RSJ)

Session 2: Artificial Intelligence

Artificial intelligence is a discipline of software engineering that focuses on constructing intelligent robots that behave and react similarly to humans. Artificial intelligence is skilled at analyzing how the human brain makes decisions, learns, and functions when attempting to solve a problem. It then uses the findings of this analysis to create increasingly intelligent software and systems. Knowledge has several unpleasant traits in real life. Hardware-driven, robotic automation is different from AI. Instead of automating manual labour, artificial intelligence executes frequent, high-capacity, electronic jobs reliably and without getting tired. In the modern world, artificial intelligence (AI) may be used to operate robots, sensors, actuators, and other devices in a number of ways.

Session 3: Robotics & The impact of robots on society

People are now aware of the unique benefits of using robots for medical reasons as a result of recent advances in medical robotic research. Robotic systems' ability to perform a variety of clinical and other medical tasks with high accuracy and repeatability, as well as their capacity to give doctors better visual feedback, are the key factors that have attracted so much attention to them. Robotics research and use in medical settings have increased as a result of their advantages and capabilities in clinical settings. As medical robotic technology has advanced, there are now more medical robots on the market and more of them are being used in actual clinical settings. Robots are anticipated to play significant roles in modern medical diagnostics, surgery, rehabilitation, drug delivery and other procedures in the future.

We currently live in the age of the intelligent machine. Robots now play a diverse and active part in our daily lives. It appears that the scientific mechanism is becoming a fact. Since there is good technology to oversee the functions of their home, robots are gradually approaching us. Within the next ten to fifteen years, there's a significant chance that robots will be working in the homes of regular people as technology continues to advance. The session's major topic of discussion is how robots become significant allies on our path and how they assist us in making positive changes in our lives.

Session 4: Artificial Neural Networks & Deep Learning

A data-organizing perspective called an Artificial Neural Network (ANN) is dictated by the way that organic sensory systems work. Artificial neural networks use computers to carry out specialised tasks like pattern recognition and clustering. Similar to human brains, they acquire knowledge through learning, and that knowledge is stored within the strengths of interneuron connections. Through a learning process, an Artificial Neural Network is created for a specific purpose, such as design acknowledgment or information organisation. They are able to simultaneously process and model nonlinear relationships between inputs and outputs.

They stand out for having adjustable weights along the connections between neurons that may be adjusted by a learning algorithm that gains knowledge from observed data to enhance the model. Artificial intelligence's Deep Learning function simulates how the human brain processes data and generates designs for use in decision-making. Deep learning is a branch of machine learning that is focused on the description of learning data. It is structured learning. For training via back propagation, it makes use of some kind of inclination extraction. In deep learning, sets of propositional formulas and hidden layers of artificial neural networks are utilised as layers.

Session 5: Data Analytics

Data Analytics examines and analyzes huge amounts of data, i.e Big data to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help companies make more informed business decisions. Software can pave the way for Data Analytics to deliver various business benefits, including new revenue opportunities, more effective marketing, improved operational efficiencies, competitive advantages, and better customer service

Session 6: Data Science

Data science is the study that combines domain knowledge, programming abilities, and math and statistics understanding to extract useful insights from data. Machine learning algorithms are used with numbers, text, photos, video, audio, and other data to create artificial intelligence (AI) systems that can execute jobs that would normally need human intellect. As a result, these systems produce insights that analysts and business users may employ to create meaningful commercial value.

Session 7: Big Data

Big Data is a collection of statistics that is large in volume yet grows rapidly over time. It is a statistic of such enormous length and complexity that no ordinary statistics control equipment can effectively store or process it. Big statistics are similar to statistics, except they are much longer. Experimentation and inquiry are required to effectively exploit the benefits of Big Data.

Session 8: Block chain and Machine learning

The previous several years have seen a lot of buzz surrounding block chain and machine learning (ML), but not as much in tandem. Block chain can handle nearly any kind of transaction because it is a distributed ledger. Its fast rising popularity and power are primarily due to this. The transaction recording procedure will be sped up and made simpler with the help of the block chain.

This means that utilising this entirely decentralised system, any kind of asset can be transparently traded. The main distinction is that there are no middlemen involved here, such as the government, banks, or even technology firms. Rather, it's a large collaboration with excellent code that drastically cuts settlement and clearing times to a matter of seconds.

Session 9: Artificial Intelligence in Healthcare

By 2024, the total amount spent on artificial intelligence (AI) will be $40.6 billion. The creative advancement provided by AI technologies has just come to light. Health is not protected, and these changes may progress numerous procedures. Health, health data quality evaluation, personalised health with sensor data, cross-source learning for improved lifestyles, and health data visualisation are just a few of the many study opportunities that the remarkable developments in healthcare have opened up. The development of AI in the area of customer benefit and the challenge posed by AI calculations are expected to transform the field of financial management.

The network of physical items, or "things," that are implanted with sensors, software, and other technologies for the purpose of communicating and exchanging data with other devices and systems through the internet is referred to as the Internet of Things (IoT).

These gadgets include anything from common domestic items to high-tech industrial gear. Today, there are more than 7 billion connected IoT devices, and according to analysts, there will be 10 billion by 2020 and 22 billion by 2025. Device partners are part of Oracle's network. IoT has emerged in recent years as one of the most significant 21st-century technologies. Continuous communication between people, processes, and things is now possible thanks to the ability to connect commonplace items—such as household appliances, automobiles, thermostats, and baby monitors—to the internet via embedded devices.

Robots that resemble humans are becoming more and more common in India. Indian start-ups and the government are moving quickly to integrate new technology, even if the nation is still catching up to other nations in terms of robotics and artificial intelligence advancements.

Robot sales in India reached a new high of 2,627 units, up 27%, according to IFR research, which is almost the same as Thailand. According to another study, India is third in the world for using robotic automation.

Session 12: Computer vision

The branch of study known as "computer vision," or CV for short, aims to create methods that will enable computers to "see" and comprehend the content of digital images like pictures and movies.

Because everyone, including very young toddlers, can trivially solve the computer vision issue, it looks to be an easy one. However, because to our incomplete understanding of biological vision and the intricacy of visual perception in a dynamic physical world with almost endless variation, the topic generally remains unanswered.

Session 13: Cloud Robotics

Advanced cloud technologies are the focus of the robotics subfield known as cloud robotics. Cloud robotics can be used to learn about cloud computing, cloud storage, and other Internet technologies focused on the advantages of converged infrastructure and shared services for robots. Robots that are connected to the cloud can benefit from the advanced processing, storage, and communication capabilities of a cloud data centre that can handle and exchange data from numerous robots or agents. Through networks, humans can assign duties to robots remotely as well. These cloud computing technologies allow robot systems to be equipped with strong capabilities while also lowering costs. As a result, it is conceivable to develop cheaper, lighter, and smarter robots that are "brain-powered" by the cloud.

For deep learning, information processing, environment modelling, communication support, etc., the brain in the cloud is crucial and responsible. Although there are many benefits of cloud computing for robots, the cloud is not a panacea for all robotic problems. Robot movement control that heavily relies on (real-time) sensors and controller feedback may not really benefit from the cloud. Real-time execution tasks necessitate onboard processing. High-latency replies or network issues can also cause cloud-based applications to lag or become unavailable. Robots that rely too heavily on the cloud could become "brainless" if the network experiences a problem.

Session 14: Role of AI & Robotics in Industry & Business

Artificial intelligence will change how we view the world in this period in a variety of ways. Using intelligent automation and artificial intelligence, businesses may increase productivity and effectiveness, lower operational risks, and enhance customer engagement. In intelligence automation, we employ computer programmes or other technology that can carry out tasks autonomously. This seminar examines how artificial intelligence and automation are being used extensively to improve human life. Since 1930, people have started to believe in industrial robots. In 1954, the first manufacturing robot was used. Since robots have opened up new job chances in other areas while also granting some jobs in manufacturing.

Robots typically perform tasks like welding, painting, assembling, pick-and-place packing, labelling, etc. in the industrial sector. The session has been specifically designed for people who work in various industries as well as students who will eventually work in those fields. Business organisations will also benefit from looking at some of the newest technologies developing in these fields.

Session 15: Robotic Rehabilitation Systems

One area of biomedical engineering that has a specific focus is rehabilitation robots. In this area, engineers, therapists, and clinicians work together to assist patients recover. The field's top priorities include creating implementable technologies that are simple for patients, therapists, and clinicians to use. By improving the effectiveness of clinicians' therapies, this will make it easier for patients to go about their daily lives. The number of rehabilitation robots has grown over the last ten years, however due to clinical trials, their capabilities are quite limited. Many clinics have conducted trials but have chosen not to deploy the robots because they would prefer that they be remotely operated. Making robots engaged in a patient's rehabilitation offers certain benefits.

The fact that you can repeat the process as many as you like is one of its benefits. You can obtain precise measurements of their advancement or deterioration, which is another advantageous element. Using the device's sensors, you may obtain the precise measurements. One must use caution as the robot prepares to take measurements because it could be interfered with. Long-term continual therapy can be administered by the rehabilitation robot. Many therapists, scientists, and patients who have received the therapy agree that the rehabilitation robot is an effective tool to use. He is unable to comprehend the patient's demands during the healing process like a skilled therapist would. Currently, the robot cannot understand, however in the future, the device will be able to understand. Another advantage of having a rehabilitation robot is that there will be no physical effortput into work by the therapist.

Session 16: Neuromorphic Learning

Researchers have been working on silicon chips that can directly integrate neural network design as a result of the popularity of Deep Learning concepts that rely on neuron-based models. At the hardware level, these chips are programmed to simulate the human brain. In a typical chip, data must typically be transported between the central processing unit and storage blocks, which uses energy and adds time overhead. In a neuromorphic semiconductor, data is assembled and stored analogously, and it can create synapses as needed to conserve time and energy.

Session 17: Artificial Intelligence in Multimedia Technologies

Recent years have demonstrated the crucial advancement that multimedia and AI technology have provided. Many sectors and behaviours can advance as a result of these changes, and health is not an exception. Due to the abundance of multi-model sensors and smart objects in the environment, greater multimedia collaboration among many organisations, and real-time media sharing amongst socially connected individuals, multimedia plays a dynamic role in the eco-system of smarter cities. Given that it offers a customizable stack of computing, storage, and software services at a reasonable price, cloud computing Events is a good choice as an enabling technology in this situation. We are currently seeing a common trend toward multimedia cloud computing, where the computationally intensive parts of multimedia systems, services, and apps are shifting into the cloud, and the end user's mobile device is being used as an interface for accessing those services.

Session 18: Surgical Robots and Medical Robots Systems

Laparoscopy, neurosurgery, orthopaedic surgery, emergency response, and many more areas of medicine are now impacted by robots. The capabilities of existing medical robot systems, with a primary focus on systems that are readily accessible on the market and a brief discussion of several significant research initiatives.

Trends that suggest future capabilities of medical robots can be seen by comparing robotic systems across disciplines and time, such as greater intraoperative image use, enhanced robot arm design, and haptic feedback to assist the surgeon.

Session 19: Robotic System Based on soft computing

A recent development in robotic systems is the network robotic system. Three levels make up the hierarchical control scheme: learning level, skill level, and adaption level. The learning stage manipulates symbols to arrive at control methods logically.

Along with control tactics and environmental sensory data, the skill level also generates control references. The level of adaptability regulates robots and machines as they adjust to uncertain situations. Artificial intelligence, neural networks, fuzzy logic, and evolutionary algorithms are applied to the hierarchical control system while integrating and synthesising themselves for these levels and to connect them.

Session 20: Micro-robots and Nano-robots

Intelligent devices that function at the micrometre size are known as micro robots. The micron-sized robots were created and put together using equipment and procedures created by IRIS researchers. Numerous of these systems are employed for robotic exploration of biological domains, including the study of cellular and molecular behaviour and molecular structures.

Although research into small-scale robotics is starting to approach these proportions, nano-robots are still a thing of science fantasy. Robots that are large enough to manipulate items with nanometer resolution or robots that are nanoscale in size are referred to as nano robots. Nano electromechanical Systems, or NEMS, are made possible by nano robotic manipulation.

Session 21: Future Potential of AI

Artificial intelligence (AI) in the future has the potential to revolutionise society. Computers have advanced greatly since the introduction of the Turing Analysis. Artificial intelligence is rapidly becoming a significant economic force. Without a doubt, it will play a crucial role in human life in the future. But there is still a crucial question: what would happen if the creation of robust artificial intelligence is successful and a machine learns to outperform humans? We are confident that this meeting will enable us to talk about, improve, and steer clear of such potential results in the future.

Session 22: Natural Language Processing

Natural Language Processing is essential for translating commands from human language to computers and the other way around. This method makes it simple for humans and robots to communicate. In other words, natural language processing converts organised knowledge into human language. Visit our Robotics and Al 2023 conference for additional details.

Session 23: Applications of robotics

Robots currently carry out a variety of occupations across several industries, and the number of tasks assigned to them is steadily growing. A division based on the use of the robots is the most effective method of categorising them.

1. Industrial robots

2. Domestic orhousehold robots

3. Medical robots

4. Service robots

5. Military robots

6. Entertainmentrobots

7. Space robots

8. Hobby andcompetition robots

As we can see, there are several examples that are suitable for one or more of these categories. As an example, a deep ocean exploration robot may be able to gather a variety of priceless data that may be used by the military or armed forces. Robots were originally created by humans solely for the purpose of entertainment, but today they are employed to support people in a variety of fields. Robots are good at mundane, repetitive tasks, freeing up humans to work on more difficult cognitive tasks. However, robots are now used to replace humans for a variety of repetitive tasks or entertainment to make life more convenient. Humans are better suited for multifaceted, imaginative, and adaptable jobs, while robots are good at mundane, repetitive tasks.

Metrics

Pulsus Group is one of the world’s remarkable Scientific Conference Organizers who have their individuality on all the spectrums of Science, Technology and Business. A part of every conference series’ success specifically hangs on to how far it reaches the online community. Having an online audience is critical to make an international gathering a great success; be it research or academic or industrial.

Research personnel, Academicians, Research institutes, Industrialists, Entrepreneurs, Consultants and students from the field of Robotics and Al are the key participants who show intense desire in attending the Robotics and Al conference put forth by Pulsus conferences. Conferences based on Robotics and Al shows a significantly large number of unique visitors and page views which were proved to be a thriving success. The readership metrics shown below are as follows:

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